A novel deep convolution multi-adversarial domain adaptation model for rolling bearing fault diagnosis L Wan, Y Li, K Chen, K Gong, C Li Measurement 191, 110752, 2022 | 113 | 2022 |
An efficient rolling bearing fault diagnosis method based on spark and improved random forest algorithm L Wan, K Gong, G Zhang, X Yuan, C Li, X Deng Ieee Access 9, 37866-37882, 2021 | 65 | 2021 |
Rolling-element bearing fault diagnosis using improved LeNet-5 network L Wan, Y Chen, H Li, C Li Sensors 20 (6), 1693, 2020 | 64 | 2020 |
Optimization of quasi-diagonal matrix–vector multiplication on GPU W Yang, K Li, Y Liu, L Shi, L Wan The international journal of high performance computing applications 28 (2 …, 2014 | 42 | 2014 |
A cost-optimal parallel algorithm for the 0–1 knapsack problem and its performance on multicore CPU and GPU implementations K Li, J Liu, L Wan, S Yin, K Li Parallel Computing 43, 27-42, 2015 | 29 | 2015 |
A novel bearing fault diagnosis method using spark-based parallel ACO-K-means clustering algorithm L Wan, G Zhang, H Li, C Li IEEE Access 9, 28753-28768, 2021 | 28 | 2021 |
Novel heuristic speculative execution strategies in heterogeneous distributed environments X Huang, L Zhang, R Li, L Wan, K Li Computers & Electrical Engineering 50, 166-179, 2016 | 28 | 2016 |
Rolling bearing fault prediction method based on QPSO-BP neural network and dempster–shafer evidence theory L Wan, H Li, Y Chen, C Li Energies 13 (5), 1094, 2020 | 25 | 2020 |
Research on fault diagnosis of wind power generator blade based on SC-SMOTE and kNN C Peng, Q Chen, L Zhang, L Wan, X Yuan Journal of Information Processing Systems 16 (4), 870-881, 2020 | 20 | 2020 |
GPU implementation of a parallel two‐list algorithm for the subset‐sum problem L Wan, K Li, J Liu, K Li Concurrency and Computation: Practice and Experience 27 (1), 119-145, 2015 | 20 | 2015 |
Efficient CPU‐GPU cooperative computing for solving the subset‐sum problem L Wan, K Li, J Liu, K Li Concurrency and Computation: Practice and Experience 28 (2), 492-516, 2016 | 18 | 2016 |
动态演化环境中可信软件行为监控研究与进展 万灿军, 李长云 计算机应用研究 26 (4), 1201-1204, 2009 | 14 | 2009 |
Efficient inter-device task scheduling schemes for multi-device co-processing of data-parallel kernels on heterogeneous systems L Wan, W Zheng, X Yuan IEEE Access 9, 59968-59978, 2021 | 12 | 2021 |
A novel remaining useful life prediction method based on CEEMDAN-IFTC-PSR and ensemble CNN/BiLSTM model for cutting tool L Wan, K Chen, Y Li, Y Wu, Z Wang, C Li IEEE Access 10, 2182-2195, 2022 | 11 | 2022 |
A novel cooperative accelerated parallel two-list algorithm for solving the subset-sum problem on a hybrid CPU–GPU cluster L Wan, K Li, K Li Journal of Parallel and Distributed Computing 97, 112-123, 2016 | 11 | 2016 |
Intelligent fault diagnosis via ring-based decentralized federated transfer learning L Wan, J Ning, Y Li, C Li, K Li Knowledge-Based Systems 284, 111288, 2024 | 10 | 2024 |
Detection of dim and small infrared targets based on the most appropriate contrast saliency analysis J Guoqing, W Lanjun 红外与激光工程 50 (4), 20200377-1-20200377-8, 2021 | 7 | 2021 |
Rolling bearing fault diagnosis method based on parallel QPSO-BPNN under spark-GPU platform L Wan, H Li, G Zhang, C Li, J Man, M Xiao IEEE Access 9, 56786-56801, 2021 | 7 | 2021 |
Ensemble pruning of RF via multi-objective TLBO algorithm and its parallelization on spark L Wan, K Gong, G Zhang, C Li, Z Wang, X Deng IEEE Access 9, 158297-158312, 2021 | 5 | 2021 |
HCE: a runtime system for efficiently supporting heterogeneous cooperative execution L Wan, W Zheng, X Yuan IEEE Access 9, 147264-147279, 2021 | 5 | 2021 |